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SQL on Hadoop Benchmarks

By Remy Rosenbaum on February 16, 2016

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Jethro's SQL acceleration layer has demonstrated faster query performance than both Impala and Redshift on live independent TPC-DS benchmarks. Benchmarks were measured on Tableau and Qlik BI tools.

SQL-on-Hadoop BenchmarksSQL-on-Hadoop Benchmarks

Hardware Data Format Hadoop Cluster Compute Cluster Total RAM, CPU AWS $ per hr.
Jethro Jethro indexes 3x m1.xlarge 2x r3.4xlarge (spot) 290GB, 44 cores $0.75
Impala Parquet 7x r3.2xlarge 450GB, 60 cores $5.00
1x r3.xlarge
Redshift Redshift 6x dc1.large 90GB, 12 cores $1.50

Live SQL-on-Hadoop TPC-DS Benchmarks Impala and Jethro on  Tableau

Follow the steps below to access live TPC-DS benchmarks for Jethro, Impala and Redshift

  1. Navigate to: tableau.jethrodata.com
    • Login: demo | demo
  2. Choose workbook: Jethro, Impala, Redshift
  3. Dashboard interaction: choose year, category or any other filter to drill-down
  4. Data
    • Based on TPC-DS benchmark
    • 1TB raw data (400GB fact)
    • Fact table: ~2.9B rows; Dimensions: 7

Live SQL-on-Hadoop TPC-DS Benchmarks Impala and Jethro on  Qlik

  1. Navigate to: http://jethrodata.qlik.com
  2. Choose workbook: Jethro, Impala, Redshift
  3. Dashboard interaction: choose other filter to drill-down
  4. Data
    • Based on TPC-DS benchmark
    • 600GB raw data
    • Singe table: ~2.5B rows

 

 

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